Agentic Analytics Reviews and Ratings
What is Agentic Analytics?
Gartner defines agentic analytics as software used for the process of data analysis that applies AI agents across the data-to-insight workflow, orchestrating tasks semi-autonomously or autonomously toward stated goals that support, augment or automate insights. Agentic analytics’ must-have capabilities are data source connectivity, data preparation, agent workflow orchestration, automated insights and natural language query. Optional capabilities include data storytelling, a coding assistant, function calling, agent memory, embedded analytics and platform administration. Agentic analytics is the evolution of augmented analytics through the application of AI agents to data analysis.
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Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
Zoho Corporation is a privately held software company that is focused on delivering solutions to help businesses grow. The company's portfolio of more than 55 products is used by over 100 million people around the world and is designed to cater to varying business requirements such as sales, marketing, support, collaboration, finance, and recruitment. Zoho is concentrated on creating digital tools with a strict adherence to user privacy. It does not rely on an ad-revenue model, even for its free products. The firm's global reach extends from its headquarters in Austin, Texas to international offices in Chennai, India and other worldwide locations.
Aible develops enterprise AI solutions aimed at driving significant impact within a short timeframe. The innovative venture offers a suite of AI services catering to diverse organizational roles such as CIOs, CDOs, data teams, and business units, regardless of their stage in AI implementation. Aible specializes in a range of AI solutions, from Generative AI for enterprise analytics to automated AI-readiness assessments, advanced analytics enhanced with AI, and optimized recommendations for end-user applications. The company also developed 'ChatAible', a generative AI tool designed for enterprise analytics that incorporated built-in safeguards. With Aible, IT and data teams can transition from raw data to measurable revenue growth together with their business stakeholders promptly.
Artificio Products Inc is a software development company focused on eliminating manual data entry through AI and cognitive computing. Its product, Artificio, is an automation tool designed to replace conventional practices of manual data extraction. Artificio converts unstructured datasets from various sources such as texts, PDFs, and images into structured information. The tool is supported by AI/ML models and is capable of extracting, segregating, validating, and integrating data smoothly and accurately. Artificio features a user-friendly interface and can be integrated with ERP or non-ERP systems.
Quantiphi is a digital engineering organization that focuses on artificial intelligence. Established in 2013, one of its key objectives includes finding solutions to challenging and compound business issues. The strategy that Quantiphi employs integrates deep familiarity with a range of industries, rigorous data and cloud engineering practices, and advanced research in the field of artificial intelligence. The core intent is to generate swift and measurable outcomes for businesses.
As a company, the prime focus revolves around incorporating innovative measures and leveraging cutting-edge technology to streamline business experiences. The primary challenge it addresses is optimizing business operations and enhancing the overall productivity.
Improvado is a company with a focus on automation of marketing reporting. Its core function is aimed at resolving the issue of uninformative budget decisions and underperforming marketing tactics. The company's services center around data management, specifically to simplify marketing analytics that otherwise require cumbersome spreadsheet processing. It achieves this through a comprehensive integration with numerous marketing and sales platforms which facilitates an encompassing view of marketing performance. Improvado's approach covers the entire spectrum of analytics - from data extraction and standardization to data visualization in dashboards. The organization's solutions enable a user-friendly means to assess cross-channel performance, evaluate complex metrics, attribute income to certain contact points, and reconstruct customer journeys.
SAP is a company that aims to improve operational efficiency worldwide. The primary focus is on helping customers optimize their business operations. SAP develops innovative solutions to support this objective. The company plays a crucial role in transforming industries by fostering opportunity and equality on a global scale. By collaborating with customers and partners, SAP is capable of making substantial changes across various industries, supporting the growth and development of economies and societies.
Salesforce is a company that integrates artificial intelligence with customer relationship management and data to create solutions for customer-related concerns. Salesforce's primary business problem is to enhance the interaction between businesses and their customers by leveraging technology.
WisdomAI focuses on providing data insights to improve decision-making within organizations. It aims to make data easily accessible to all employees.
Gartner Research
Features of Agentic Analytics
Mandatory Features:
Agent workflow orchestration: The ability for platforms to semi-autonomously or autonomously manage tasks to achieve specified goals. These platforms feature adaptive workflow design, self-configuring process flows based on new data inputs or evolving objectives, real-time decision making regarding task sequencing, and automatic error detection and recovery mechanisms. AI agents can dynamically allocate and optimize resources, continuously learning and improving orchestration strategies.
Natural language query: The ability to enable users to interact with data using natural language, either typed or spoken. Advanced chatbots facilitate conversational Q&A, delivering data-to-insight interactions with full data visualizations. The platforms can group, filter and rank answers, providing comparisons, trend analysis, and geospatial and temporal understanding. They utilize temporal algorithms (e.g., time since/until, longer/slower) and geospatial algorithms (e.g., distance, route), presenting answers as maps. AI-enabled predictions and forecasting come with explanations and customizations, enhancing user engagement and understanding.
Data preparation: The ability to combine data from various sources to create analytics models, including user-defined measures, data pipelines, sets, groups and hierarchies. AI agents can autonomously explore and understand complex data structures, dynamically addressing quality issues and inconsistencies. Additionally, they can comprehend relationships between data attributes, automatically suggesting meaningful joins and integrations while recognizing semantic connections across disparate sources. They infer potential data transformations based on historical patterns and business context, sharing insights and best practices across different data preparation tasks.
Automated insights: The ability to employ machine learning techniques to automatically generate insights for end users, such as identifying key attributes in a dataset. AI agents proactively identify significant patterns, trends and anomalies, generating human-readable narratives that explain data findings. They provide probabilistic confidence scores for each insight and contextualize them within broader business performance frameworks. Responsible insight generation includes audit trails, explicit confidence scoring, uncertainty quantification, statistical significance and potential limitations. The platforms also detect algorithmic bias across multiple dimensions and offer human oversight options.
Data source connectivity: The ability to handle multimodal data input and produce multistructured analytics outputs. Agentic analytics seamlessly integrate a wide range of data types — structured, semistructured and unstructured — from both internal and external sources. This includes diverse formats such as text, audio, images and video, enabling comprehensive analytics.